As the adoption of agentic AI spreads across marketing organizations, demand for solutions equipped with data integration governance capabilities is rising. Amidst this trend, Denodo was named a key partner in the annual report of global data cloud company Snowflake.

Denodo announced on the 30th that it was selected as a 'One to Watch' in the data integration and data modeling sectors of 'The Modern Marketing Data Stack 2026' report published by Snowflake.

This report, marking its fifth edition this year, is based on data from over 11,500 Snowflake customers and ecosystem partners across 13 sectors and analyzes that the operational methods of marketing organizations are shifting from a decentralized, tool-centric approach to a governance-based agentic AI system.

Snowflake explained that the selection was made based on innovation, market momentum, and the ability of Snowflake AI data cloud to expand value.

As a Premier Partner of Snowflake, Denodo provides active data and context layers that integrate distributed data sources in real-time without data copying (zero-copy).

The company stated that this enables the establishment of a single access path to data across on-premises, multi-cloud, and SaaS environments and the application of governance.

The collaboration between Denodo and Snowflake unfolds around marketing use cases such as real-time configuration of customer 360 views, automation of campaign optimization, provision of real-time purchase intent information based on multimodal data, and implementation of hyper-personalized customer experiences across channels.

Denodo Executive Vice President (EVP) Suresh Chandrasekaran said &ldqu"As the transition to Agentic AI accelerates, establishing a real-time access system with governance applied to the entire data asset has become a key challenge," they stated.

Snowflake CMO Denise Persson said, “Combining Denodo’s logical data foundation with Snowflake’s AI data cloud enables the integration of data in complex environments and enhances business outcomes through agentic AI use cases.”